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All Journal Bulletin of Electrical Engineering and Informatics JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING JOURNAL OF SCIENCE AND SOCIAL RESEARCH Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Journal of Vocational Instruction Komposit : Jurnal Pengabdian Dan Pemberdayaan Masyarakat
Julham Julham
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Humanities Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Mechanical Engineering Social Sciences Other

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Comparison of ARIMA and LSTM Models in Stock Price Forecasting: A Case Study of GOTO.JK Adam, Hikmah Adwin; Raditiansyah, Farhan; Imani, Muhammad Rayyan; Fawwaz, Mohammad Faris; Julham, Julham; Lubis, Arif Ridho
JOURNAL OF INFORMATICS AND TELECOMMUNICATION ENGINEERING Vol. 8 No. 1 (2024): Issues July 2024
Publisher : Universitas Medan Area

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31289/jite.v8i1.11841

Abstract

The renowned Indonesian company, PT Gojek Tokopedia Tbk, has a significant impact on the Indonesian economy by attracting investors to invest their shares. This study uses stock closing price data to forecast stock prices using ARIMA (AutoRegressive Intergrated Moving Average) and LSTM (Long Short-Term Memory) models, to predict using prediction by dividing the data into groups of 10 or 20 data with data sets to be trained as multiples. The analysis shows that ARIMA is superior to LSTM based on the comparison of average error and average percentage error, where the average error results in LSTM (3.843) and ARIMA (3.259), as well as the average error of LSTM (4.04%) and ARIMA (3.57%). The research supports the conclusion that ARIMA has a better performance in predicting the stock price of PT Gojek Tokopedia Tbk. These results provide important insights for investors and market participants, while the research supports the increased use of seasonal patterns in ARIMA forecasting for more accurate results in the future. Future research is recommended to explore additional factors and optimized models to further improve stock price prediction.
PEMANFAATAN INTERNET DAN JEJARING SOSIAL UNTUK PEMBELAJARAN DI MADRASAH ALIYAH (MA) NURUL FURQOON KECAMATAN BINJAI BARAT KOTA BINJAI Yusuf, Kadri; Prayudani, Santi; Julham, Julham
Jurnal Sistem Informasi Kaputama (JSIK) Vol. 4 No. 1 (2020): Volume 4, Nomor 1, Januari 2020
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jsik.v4i1.754

Abstract

The development of science and technology, especially information and communication technology (ICT) has penetrated various fields of life including education and teaching. The progress of ICTs is undeniably a lot of positive impacts on the progress of today's education world. Social networking or friendship through the Internet, otherwise known as social networking, is also experiencing rapid growth. The trend of using social networking is actually an interesting opportunity to be utilized as one of the learning media. Utilization of the internet and social networking in learning in Madrasah Aliyah (MA) Nurul Furqoon Binjai is an effort to improve teacher efficiency so that it is more focused on improving the quality of learning by providing training on the use of Whatsapp, Teamviewer and Google Drive. in facilitating teachers in undergoing the process of teaching and learning in schools. It is expected that by knowing the function of social media, teachers can easily and quickly transfer information to students or to teachers at Madrasah Aliyah (MA) Nurul Furqoon schools.
Human blood group type detection prototype focusing on agglutinin using microcontroller based photodiode Lubis, Arif Ridho; Harefa, Hafid Rahman; Al-Khowarizmi, Al-Khowarizmi; Julham, Julham; Lubis, Muharman; Rahmat, Romi Fadillah
Bulletin of Electrical Engineering and Informatics Vol 13, No 4: August 2024
Publisher : Institute of Advanced Engineering and Science

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.11591/eei.v13i4.7007

Abstract

Blood is a fluid in the body that mainly serves as a medium for transporting various substances in the body. Detection of human blood group types with this microcontroller utilizes dark and light properties. The dark character appears due to agglomeration, while the light nature arises because of no agglomeration, for this to happen, a liquid reagent is needed. Administration of this liquid uses the aviator's breathing oxygen (ABO) system, which consists of reagent a, reagent b, and reagent c and mixing it with blood on the test paper. The number of blood samples in each reagent is based on blood lancet. Furthermore, the sensors used to detect these properties are photodiode and light emitting diode (LED) each of 3 pieces. The Arduino Uno is used to process sensor input while at the same time producing displayed human blood group type on the display screen. The test is carried out involving 12 blood samples and a medical officer. Medical officer are tasked reading directly the results of mixing between reagents and blood samples, after that are compared with the system. The results show that the deviation of the system reading is 0.167 for the sensor reading distance with the sample as far as 0.5 cm.
INOVASI SMART FARMING OPTIMALISASI BAWANG MERAH HIDROPONIK BERBASIS IOT DAN MACHINE LEARNING Putra, Purwa Hasan; Julham, Julham; Nurlinda, Nurlinda; Dhitisari, Indri
JOURNAL OF SCIENCE AND SOCIAL RESEARCH Vol 7, No 4 (2024): November 2024
Publisher : Smart Education

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54314/jssr.v7i4.2330

Abstract

Desa Berastagi memiliki potensi sumber daya alam yang luar biasa, dan masyarakatnya terdiri dari mayoritas petani dan didukung oleh BUMD. Namun, desa ini masih menerapkan pertanian konvensional dan belum menerapkan teknologi seperti IOT untuk meningkatkan produksi hasil pertanian dan ketersediaan pangan lokal untuk menggantikan komoditas pangan impor dengan usaha pertanian cerdas atau smart farming 4.0. Dalam penelitian ini, target yang diharapkan dari M&A adalah untuk menghasilkan lebih banyak hasil pertanian lokal Melalui penggunaan teknologi modern, kualitas dan kuantitas hasil panen ditingkatkan. Selain itu, teknologi ini dapat mengubah pertanian, menghasilkan sistem pertanian pintar. Pertanian cerdas menggabungkan kekuatan perangkat Internet of Things (IoT), sensor, analisis data, dan pembelajaran mesin. Selanjutnya, penulis menganalisis algoritma pembelajaran yang diawasi dengan K-Nearest neighbor digunakan dalam layanan web karena mengungguli algoritma lainnya dengan akurasi 94% dan AUC Score 0,90
EVALUASI PELAKSANAAN E-LEARNING DENGAN MENGGUNAKAN MODEL CONTEXT INPUT PROCESS PRODUCT PADA JURUSAN TEKNIK MESIN DI SMKN 10 MAKASSAR Julham, Julham; Idkhan, A. Muh; Samnur, Samnur
JoVI:JOURNAL of VOCATIONAL INSTRUCTION Vol 3, No 2 (2024): November
Publisher : Universitas Negeri Makassar

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55754/jov.v3i2.72065

Abstract

Penelitian ini adalah penelitian kuantitatif yang bertujuan untuk mengetahui hasil Evaluasi Penerapan E-learning dengan Menggunakan Model CONTEXT, INPUT, PROCESS, PRODUCT Pada Jurusan Teknik Mesin di SMKN 10 Makassar. Dalam penelitian ini digunakan variabel tunggal yaitu hasil evaluasi penerapan e-learning dengan menggunakan model Context, Input, Process, Product (CIPP). Populasi dalam penelitian ini adalah siswa jurusan Teknik Mesin SMKN 10 Makassar, sedangkan sampel yang digunakan dalam penelitian ini adalah siswa kelas XI jurusan Teknik Mesin di SMKN 10 Makassar yang berjumlah 40 orang. Data hasil penelitian diperoleh dengan teknik pengumpuan data berupa sebaran kuesioner. Teknik analisis data yang digunakan yaitu teknik analisis deskripif dan perhitungan persentase pencapaian. Peneliti menggunakan bantuan aplikasi SPSS 26.0 dalam analisis data untuk menghasilkan olahan data dalam bentuk statistik deskriptif. Berdasarkan hasil analisis diperoleh bahwa hasil evaluasi dengan menggunakan model Context Input Process Product memiliki nilai rata-rata dan persentase tertinggi pada aspek input yaitu sebesar dengan persentase 34.06%. Sedangkan aspek evaluasi proses memiliki nilai rata- rata dan persentase terendah yaitu sebesar 13.6 dengan pesentase 16.37%
Digitalisasi Data Pengurus dan UMKM Dampingan Asosiasi Pendamping Usaha Mikro Cooperative Indonesia (PUMIKOP) Kota Medan Sumatera Utara Meryatul Husna; Sharfina Faza; Rina Anugrahwaty; Julham, Julham; Sembiring, Ajulio Padly
Jurnal Pengabdian dan Pemberdayaan Masyarakat Vol. 3 No. 1 (2025): Edisi Juni
Publisher : Jurusan Teknik Sipil, Politeknik Negeri Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.51510/komposit.v3i1.1999

Abstract

Kecepatan kinerja sebuah organisasi tidak lepas dari peranan teknologi informasi, begitu juga halnya dengan Asosiasi Pendamping Usaha Mikro Cooperative Indonesia (PUMIKOP) SUMUT. Pengelolaan data pengurus dan UMKM dampingan PUMIKOP SUMUT masih dilakukan secara manual sehingga jika data tersebut hilang atau rusak sulit dibuat kembali serta ketika ada masyarakat UMKM membutuhkan bantuan untuk konsultasi kegiatan itu membutuhkan waktu yang lama karena dilakukan dengan cara manual untuk memproses. Pengolahan data secara konvensional tentu akan membutuhkan waktu yang cukup lama, tempat penyimpanan yang sulit menjamin data tetap aman. Dalam hal akses data pun akan terasa susah karena hanya dapat dilakukan di kantor saja. Dengan memanfaatkan sistem informasi berbasis web maka permasalahan tersebut dapat diatasi. Data pengurus dan UMKM dampingan membutuhkan sesuatu terhadap usahanya maka dapat langsung memilih konsultan yang disesuaikan dengan kebutuhan UMKM mitra, serta langsung mendapatkan verifikasi ID yang terdapat pada website resmi yang membuat jadi lebih aman, cepat dan mudah saat dicari serta dapat diakses dari mana saja dan kapan saja.
Perbandingan TextRank Berbasis TF-IDF dan Word2Vec dalam Peringkasan Teks Berita Bahasa Indonesia Gurning, Yohannes Christian; Saragih, Samuel Cristian; Lase, Yuyun Yusnida; Julham, Julham
Jurnal Komputer Teknologi Informasi Sistem Informasi (JUKTISI) Vol. 4 No. 2 (2025): September 2025
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i2.552

Abstract

Automatic text summarization has become an essential solution for processing massive textual information, particularly in lengthy news articles. This study compares two variants of the TextRank algorithm using different weighting schemes: TF-IDF and Word2Vec, for summarizing Indonesian news texts. The dataset comprises 160 news articles from Kompas.com, which underwent preprocessing. Evaluation was conducted using ROUGE metrics (ROUGE-1, ROUGE-2, ROUGE-L), manual readability assessment, and execution runtime. The results indicate that TextRank with Word2Vec outperforms TF-IDF in both ROUGE scores (ROUGE-1 F1: 0.7033 vs 0.6454) and processing speed. These findings suggest that incorporating semantic representations into graph-based algorithms like TextRank significantly improves summary quality and runtime efficiency.
Co-Authors Adam, Hikmah Adwin Al Khowarizmi Dhitisari, Indri Fawwaz, Mohammad Faris Faza, Sharfina Gurning, Yohannes Christian Harefa, Hafid Rahman Husna, Meryatul Idkhan, A. Muh Imani, Muhammad Rayyan Lubis, Arif Ridho Muharman Lubis Nurlinda Nurlinda, Nurlinda Prayudani, Santi Putra, Purwa Hasan Raditiansyah, Farhan Rina Anugrahwaty Romi Fadillah Rahmat Samnur . Saragih, Samuel Cristian Sembiring, Ajulio Padly Yusuf, Kadri Yuyun Yusnida Lase