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Tri A. Sundara
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The Indonesian Journal of Computer Science
Published by STMIK Indonesia Padang
ISSN : 25497286     EISSN : 25497286     DOI : https://doi.org/10.33022
Core Subject : Science, Engineering,
Computer Science & IT Electrical & Electronics Engineering Engineering
The Indonesian Journal of Computer Science (IJCS) is a bimonthly peer-reviewed journal published by AI Society and STMIK Indonesia. IJCS editions will be published at the end of February, April, June, August, October and December. The scope of IJCS includes general computer science, information system, information technology, artificial intelligence, big data, industrial revolution 4.0, and general engineering. The articles will be published in English and Bahasa Indonesia.
Arjuna Subject : Ilmu Komputer (semua kategori) - Ilmu Komputer (Lain-Lain)
Articles 1,170 Documents
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Twitter Sentiment Analysis of Public Space Opinions using SVM and TF-IDF Methods Arsyah, Ulya Ilhami; Pratiwi, Mutiana; Muhammad, Abulwafa
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3594

Abstract

Public space opinion reviews are currently a source of information for interested parties and decision-makers. Twitter is a social media that is a means of expressing themselves for people to express their opinions and criticize the current situation. This becomes information for readers. Information published on Twitter contains elements of commentary on a situation or object Sentiment analysis of public space opinion on Twitter using Machine Learning with the Support Vector Machine (SVM) method with the data weighting process using the Term Frequency-Inverse Document Frequency (TF-IDF) method. Dataset obtained by scraping using the Twitter API as much as 5000 data then labeled where the goal is to get accuracy on positive, negative, or neutral sentiment. The results of research conducted experiments on three Machine Learning algorithms with the extraction function "TF-IDF" obtained an accurate training model with good classification capabilities, especially SVM of 91,6% on data distribution 70: 30; SVM is 92.8% in the case of data distribution of 80: 20; the SVM is 91,8% in the case of 90:10 decomposition data.
Pendekatan Supervised Learning Decision Tree C4.5 untuk Klasifikasi Calon Mahasiswa Baru Rizki, Puput Fadhilah; Armansyah
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3595

Abstract

Perbandingan agama atau yang sekarang lebih dikenal dengan Studi Agama-Agama (SAA) merupakan bagian dari program studi yang ada di Fakultas Ushuluddin dan Studi Islam (FUSI) UINSU. Meskipun telah lama didirikan, namun peminat dari program studi ini terbilang cukup sepi untuk skala kampus yang besar. Dalam memilih Program Studi, perlu adanya minat yang ditanamkan dalam diri calon mahasiswa. Pada penelitian ini, peneliti memiliki tujuan untuk melakukan riset klasifikasi calon mahasiswa baru Program Studi SAA dengan pendekatan minat siswa menggunakan Decision Tree C4.5. Tujuan dari penelitian ini adalah membuat klasifikasi berdasarkan pohon keputusan dan rules yang di hasilkan. Model klasifikasi yang telah dibangun selanjutnya dievaluasi dengan menggunakan confusion matrix. Pada penelitian ini akurasi yang dihasilkan pada model klasifikasi sebesar 85,7%.
Lip Movement Recognition using Histogram of Oriented Gradient (HOG) and Support Machine Vector (SVM) for Arabic Word Rabbani, Fahmi Muhammad Rabbani; Bima Sena Bayu Dewantara; Endra Pitowarno
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3596

Abstract

This research aims to develop a lip gesture recognition system in Arabic words by utilizing Histogram of Oriented Gradient (HOG) feature extraction and Support Vector Machine (SVM) classification. The evaluation was conducted on a dataset of 1749 videos with male and female participation using Modern Standard Arabic. The 10 cross-fold validation method was used to measure the performance of the system. By applying a polynomial kernel, this study achieved an accuracy rate of 95.63%, while the word recognition rate reached 96%. These results confirm the system's ability to recognize lip movements with precision, confirming the effectiveness of the approach used in visual recognition for Arabic.
Analisis Pengaruh Strategi Konten Sosial Media Terhadap Aplikasi Layanan Streaming Khairunnisa; Dedy Kurniawan; Ali Ibrahim; Endang Lestari Ruskan
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3597

Abstract

Social media marketing is becoming a key strategy for streaming applications. This study analyzes the content strategy of the Instagram account @Netflixid and its impact on customer loyalty. The study uses a quantitative approach with an online survey as a data collection method and Structural Equation Modeling (SEM)-Partial Least Squares (PLS) as a research method. The results show that content that reflects the behavior of followers and is animated is preferred by Netflixid audiences. This content strategy also has a positive impact on customer loyalty.
Prototype Sistem Monitoring Lampu Penerangan Jalan Umum Menggunakan Zigbee dan Esp32: Prototype of Public Street Light Monitoring System Using Zigbee and Esp32 Ashari, Wahid Miftahul; Jeki Kuswanto; Firman Asharudin; Andriyan Dwi Putra; Muhammad Tofa Nurcholis
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3598

Abstract

Street lighting, or Public Street Lighting (PJU), is crucial infrastructure in an area, particularly for nighttime traffic illumination. Efficiency and monitoring pose significant challenges in PJU management. Most PJUs lack a monitoring system, making control and malfunction detection difficult. Monitoring is expected to efficiently regulate the on-off schedule and detect malfunctions. This research aims to develop a cost-effective PJU monitoring and efficiency system without replacing many existing devices. The method employs Zigbee technology and Esp32. This system is anticipated to enhance efficiency and detect issues more promptly than before.
An Evaluation of DevOps Practices to Prevent Fraud: A Case Study of PT XYZ Adi Hartanto; Rizal Fathoni Aji
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3600

Abstract

Fraudulent transactions caused mainly by high level bugs in PT XYZ’s production environment have caused significant financial losses for the company. Such issues were attributed to subpar DevOps practices in PT XYZ. Based on the given problem, this research evaluates DevOps practices in PT XYZ based on Bucena’s maturity model and proposes recommendations for improvement. This study collects data using interviews with four key figures in PT XYZ’s software development team and processed using the thematic analysis method in conjunction with magnitude coding. The results showed that PT XYZ’s primary weaknesses in implementing DevOps practices fall mostly within Technology and Process domains. From these findings, a roadmap is designed for a timeframe of 12 months, which consists of 9 primary objectives to fulfill to increase overall DevOps maturity level at PT XYZ up to the Defined level.
Identifikasi Nilai Acak Melalui Pemosisian Ulang Fungsi XOR di Blok Pertama LFSR A5/1 Susilo Wibowo, Ayub; Wowor, Alz Danny
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3601

Abstract

Skema A5/1 menggunakan linear feedback shift register (LFSR) untuk menghasilkan keacakan. Reposisi awal dari fungsi linier pertama didasarkan pada pemilihan 4 dari 19-bit menurut hukum komutatif, dengan paling banyak 60 peristiwa reposisi.  Bit-bit yang dipilih ini menjalani proses iterasi fungsi XOR yang menghasilkan output bit acak maksimum. Hasil akhir dihasilkan oleh XOR yang memproses output dari setiap fungsi linier. Pengujian ekstensif dilakukan pada kemampuan algoritma untuk menghasilkan bit keluaran acak menggunakan metode perhitungan statistik seperti Runs Test, Block Bit, dan Mono Bit untuk mengukur keacakan. Hasilnya secara konsisten menunjukkan bahwa algoritma ini menghasilkan output acak untuk berbagai jenis input. Untuk mengevaluasi kemampuan enkripsi, sepuluh keluaran dipilih dan diuji tingkat korelasinya. Sembilan dari keluaran tersebut menghasilkan tingkat korelasi yang 'sangat rendah', sementara satu keluaran memiliki tingkat korelasi 'rendah'. Hasil ini mendukung keandalan desain sebagai generator kunci untuk melindungi informasi.
Penentuan Keabsahan Dokumen KHS Dengan Menggunakan QR Code dan Digital Signature di Politeknik Negeri Manado Lordan Kimbal, Heaven; Sudarsono, Amang; Winarmo, Idris
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3603

Abstract

The change in the KHS process from manual to computerized has positive impacts such as integration with the judicial system, ease of inputting and printing data, and in recapitulating data. However, there are risks in this concept, namely loss and damage to data which can cause doubts about the validity of KHS data. Departing from this problem, an idea emerged to create a system that can prove the validity of KHS printed documents by applying QR Code technology and Digital Signature. With Digital Signature, information about the contents of KHS when it is first printed is encrypted first so that it cannot be changed by unauthorized parties, then the encryption results will be stored on the QR Code. So that the determination of document validity is done by comparing the contents of the current document with the contents of the document in the QR Code, if the information from both is the same then the printed document is declared an original document and vice versa. The verification process will use hash logic which is one of the functions of providing verification and authentication because it produces a unique value for each input. This result is expected to help Politeknik Negeri Manado to check the validity of KHS printed by students.
Pemanfaatan Analisis Sentimen Terhadap Kasus Bunuh Diri Mahasiswa Menggunakan Naïve Bayes Classifier Ainnur Rafli; Kusnawi, Kusnawi
The Indonesian Journal of Computer Science Vol. 13 No. 1 (2024): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v13i1.3605

Abstract

Suicide is currently a serious problem in higher education, especially among university students, and special approaches and attention are required to prevent it. With today's advances in technology, emotion analysis techniques can be an effective way to understand students' feelings and thoughts that may lead to suicidal behavior or indicate a risk of suicide. For this study, we scraped the data for his 1,151 tweets on Twitter and cleaned it up to 817. Of these, there are 745 negative tweets and 72 positive tweets. Additionally, the data is implemented in an algorithm that performs a data split of 80:20 with an accuracy of 90,24%. That's the "depression" that often appears when visualizing Lata data. Especially in Indonesia, there are many suicides due to depression. The purpose of this study is to understand the factors associated with student suicide and to determine the effectiveness and accuracy of this algorithm. Additionally, this study is expected to provide insights into educational and mental health settings to improve prevention strategies and more effective approaches
Perancangan Sistem E-Commerce Dan Layanan Konsultasi Terintegrasi Pada Industri Landscape And Gardening Consultant Berbasis Website Acnan Dini Niken Putri Darmasari, Niken; Supriyono, Heru
The Indonesian Journal of Computer Science Vol. 12 No. 6 (2023): The Indonesian Journal of Computer Science
Publisher : AI Society & STMIK Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33022/ijcs.v12i6.3606

Abstract

CV Karya Taman Alam merupakan sebuah perusahaan penyedia jasa yang berfokus pada berbagai aspek landscape dan kebun. Namun, proses transaksi yang masih mengandalkan metode tradisional dan manual yang memakan waktu lama. Penelitian ini bertujuan mengintegrasikan layanan konsultasi dengan sistem e-commerce pada platform berbasis website, untuk meningkatkan pengalaman pelanggan, memudahkan proses pembelian, dan meningkatkan efisiensi operasional. pengembangan sistem dilakukan menggunakan metode model waterfall dengan menggunakan bahasa pemrograman PHP dan basis data MySQL. Hasil pengujian, termasuk pengujian menggunakan black box dan System Usability Scale (SUS), menunjukkan skor rata-rata sistem sebesar 84,2, masuk dalam kategori grade scale B menurut SUS, menunjukkan penerimaan yang baik. Integrasi ini diharapkan dapat membawa perubahan positif dalam mengoptimalkan layanan perusahaan dan memenuhi kebutuhan yang semakin dinamis di industri landscape.

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