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All Journal CESS (Journal of Computer Engineering, System and Science) Jurnal Manajemen Sumber Daya Perairan InfoTekJar : Jurnal Nasional Informatika dan Teknologi Jaringan KOMIK (Konferensi Nasional Teknologi Informasi dan Komputer) JURNAL TEKNOLOGI DAN ILMU KOMPUTER PRIMA (JUTIKOMP) Jurnal Sistem Informasi Kaputama (JSIK) Jurnal Tekinkom (Teknik Informasi dan Komputer) Jurnal Sistem Komputer dan Informatika (JSON) Community Development Journal: Jurnal Pengabdian Masyarakat Journal of Computer Networks, Architecture and High Performance Computing JiTEKH (Jurnal Ilmiah Teknologi Harapan) Syntax: Journal of Software Engineering, Computer Science and Information Technology Instal : Jurnal Komputer Jurnal Minfo Polgan (JMP) Prosiding Snastikom Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Jurnal Informatika Progres Prioritas : Jurnal Pengabdian Kepada Masyarakat Innovative: Journal Of Social Science Research Jurnal TEFSIN ( Jurnal Teknik Informatika dan Sistem Informasi) Buletin Utama Teknik Jurnal Ilmu Komputer dan Sistem Informasi Electronic Integrated Computer Algorithm Journal Jurnal Kecerdasan Buatan dan Teknologi Informasi Jurnal Computer and Technology
Ahmad Zakir, Ahmad
Universitas Harapan Medan
Agriculture, Biological Sciences & Forestry Humanities Automotive Engineering Civil Engineering, Building, Construction & Architecture Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Earth & Planetary Sciences Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Health Professions Industrial & Manufacturing Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Mechanical Engineering Public Health Social Sciences Other

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Design of A Web-Based Online Disposition Information System Case Study: Medan City Police Dewi, Hartika Sari; Zakir, Ahmad; Abdullah, Arif
Electronic Integrated Computer Algorithm Journal Vol. 3 No. 1 (2025): VOLUME 3, NO 1: OCTOBER 2025
Publisher : Yayasan Asmin Intelektual Berkah

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62123/enigma.v3i1.117

Abstract

In the digital era, efficiency in managing information is crucial, especially within the police force. The Medan City Police require an information system that can support a fast and integrated mail disposition process. This study designed and built a web-based Online Disposition Information System using the Waterfall method. The system design includes a responsive interface and an appropriate database structure. Testing used the Black Box method to ensure the accuracy of input and output. This application was developed with PHP and MySQL. The results show that the system facilitates Medan City Police personnel in receiving, processing, and tracking incoming mail efficiently.
Analysis Of Decision Support Systems Edas Method In New Student Admission Selection Siregar, Yunita Sari; Zakir, Ahmad; Syahputri, Nenna Irsa; Harahap, Herlina; Handoko, Divi
Journal of Computer Networks, Architecture and High Performance Computing Vol. 5 No. 1 (2023): Article Research Volume 5 Issue 1, January 2023
Publisher : Information Technology and Science (ITScience)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47709/cnahpc.v5i1.2057

Abstract

University of Harapan Medan is one of the private tertiary institutions in North Sumatra which has an informatics engineering study program. The informatics engineering study program is a study program that has many enthusiasts. Every year this study program graduates more than 200 students. To produce graduates who have potential, reliability and competence in the field of technology and information, it is necessary to make a selection at the beginning, namely at the time of admission of new students. There are 5 criteria used in the selection process, including the average report card score, basic ability test, computer ability test, psychological test, and interview. Each criterion has 5 weights of values, namely very high, high, medium, low and very low.  The selection process for admission of new informatics engineering students with a decision support system for the EDAS (Evaluation Based On Distance From Average Solution) method.  Where the stages in this method are by normalizing the decision matrix and looking for the average from alternatives, then from these results calculate the average positive distance (PDA) and negative distance (NDA) as well as the assessment of the weighted attribute weights of SPi and SNi, after that the normalization of positive and negative distance weights is carried out for determining the ranking score. From the results of the analysis carried out using the EDAS method, with a sample of 10 prospective students it was concluded that the 6th order student candidate had the highest score with a score of 0.519 and the lowest score in the 7th order student with a score of 0.14. Therefore, the level of accuracy of the EDAS method in selecting new student admissions is around 20%. Of course, this accuracy value will change with large data samples.
APPLICATION OF PROTOTYPE METHOD IN PERIODIC SERVICE INFORMATION SYSTEM APPLICATION (Case Study: MELET TUNING WORKSHOP MEDAN) Ramadini, Dwi Wulan Indah; Zakir, Ahmad; Sembiring, Boni Oktaviana
Bahasa Indonesia Vol 16 No 06 (2025): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v16i06.323

Abstract

This study aims to build a website-based periodic service information system application, By applying the prototype method application development method through concepts, design, and evaluation provides solutions to problems. It was found that the use of periodic service applications in the Melet Tuning Medan workshop, which has been built is very useful because of the results of the application of methods and system design. can create satisfaction with the workshop's services to customers. get service and the workshop can manage service data well and efficiently. This study produces a prototype design and applies methods in building periodic service applications on the website system.
Deteksi Malware Berbasiskan Analisis Statis Menggunakan Algoritma Convolutional Neural Network (CNN) Wiyono, Tri; Hadinata, Edrian; Zakir, Ahmad; Elhanafi, Andi Marwan
Jurnal Sistem Komputer dan Informatika (JSON) Vol. 7 No. 1 (2025): September 2025
Publisher : Universitas Budi Darma

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.30865/json.v7i1.8946

Abstract

Sistem informasi berperan penting dalam menjaga kelancaran operasional organisasi sekaligus melindungi data dari ancaman siber, termasuk malware. Pertumbuhan akses internet di Indonesia yang mencapai lebih dari 215 juta pengguna pada 2023 dan penetrasi smartphone Android sebesar 132,7 juta pada 2025 meningkatkan potensi risiko keamanan. Rendahnya kesadaran pengguna Android terhadap keamanan informasi (rata-rata 37%) menjadi faktor dominan munculnya insiden spam, phishing, dan malware. Dalam konteks ini, analisis statis menjadi salah satu pendekatan efektif untuk mendeteksi malware melalui izin aplikasi (permissions) yang tertera pada file AndroidManifest.xml. Namun, kelemahannya terletak pada keterbatasan mendeteksi kode berteknik obfuscation. Penelitian ini mengembangkan model deteksi malware berbasis Convolutional Neural Network (CNN) dengan memanfaatkan fitur statis APK. Dataset yang digunakan mencakup aplikasi berbahaya seperti Undangan Pernikahan.apk serta data publik dari Kaggle. Proses meliputi ekstraksi izin aplikasi, normalisasi, pembentukan vektor 256 fitur, serta klasifikasi biner malware dan benignware. Hasil uji menunjukkan akurasi 92% dengan precision tinggi (0,93) namun recall pada malware relatif rendah (0,77), mengindikasikan masih adanya false negative signifikan. Temuan ini menegaskan bahwa CNN efektif untuk deteksi berbasis izin, tetapi peningkatan recall diperlukan agar sistem lebih andal. Pengembangan pendekatan hibrida dengan menggabungkan analisis statis dan dinamis disarankan untuk memperkuat deteksi malware Android yang semakin kompleks. Dengan demikian, penelitian ini diharapkan memberikan kontribusi signifikan terhadap pengembangan sistem keamanan siber yang adaptif, andal, serta relevan bagi tantangan digital masa depan.
E-TRAINING APPLICATION FOR JOB VACANCIES BASED ON COMPUTER BASE TEST Wahyu Tri Yanto; Ahmad Zakir; Arie Rafika Dewi
Bahasa Indonesia Vol 17 No 11 (2026): Instal : Jurnal Komputer
Publisher : Cattleya Darmaya Fortuna

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.54209/jurnalinstall.v17i11.448

Abstract

In today's digital age, the technology industry continues to grow at a rapid pace, and the use of mobile devices is increasingly widespread. The internet is one of the results of the development of computer technology, at this time almost everyone uses the internet for the latest information. Many various job vacancy search places on the internet such as jobstreet.co.id, loker.id, glints.com and others, of the many sites or applications where job vacancies mostly only display job vacancy features. causing prospective applicants to face difficulties in finding job vacancies that match their expertise. And companies or recruiters often face difficulties in evaluating the expertise of potential applicants. Based on these problems, the author adds skills and experience development facilities by adding training features that provide relevant and quality learning materials, and with the test feature before sending job application documents, this can increase the efficiency of companies or recruiters in the selection process of prospective job applicants. In addition, test results can also help applicants improve their skills with useful feedback to add experience, with this research applicants have the potential to obtain career opportunities that match their expertise.
Survei Kepuasan Pelanggan Terhadap Layanan Service AC Menggunakan Metode Importance Performance Analysis (IPA) Yumna Shafira; Ahmad Zakir; Andi Marwan Elhanafi
Jurnal Ilmu Komputer dan Sistem Informasi Vol. 2 No. 3 (2023): September 2023
Publisher : LKP Unity Academy

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.70340/jirsi.v2i3.73

Abstract

Consumer satisfaction is a major factor in the service and goods business sector. Efforts to determine consumer satisfaction at the level of performance in terms of service quality contained in PT. BEST is currently conducted through a consumer satisfaction survey. The survey was conducted manually and the form of the interview was not based on the criteria as a standard required for the uniformity of survey material, so it was difficult to carry out further analysis. Therefore, it is necessary to have a system to measure the level of customer satisfaction by applying an analytical method that considers the level of performance between the level of interest or expectations of the respondents. The purpose of this study is to apply the IPA method which is used to find out the attributes that need to be improved or reduced based on the location of the quadrant mapping. The result of this research is a system that is able to determine the level of customer satisfaction based on the level of performance and the level of importance as well as which attributes should be improved or reduced.
Perbandingan Metode Moora dan Metode Simple Additive Weighting (SAW) untuk Menentukan Pupuk Terbaik Pada Tanaman Kacang Panjang Anmolliza; Zakir, Ahmad; Rafika, Arie
Jurnal TEFSIN ( Jurnal Teknik Informatika dan Sistem Informasi) Vol. 1 No. 2 (2023): November 2023
Publisher : Fakultas Teknik Universitas Nahdlatul Ulama Sumatera Barat

Show Abstract | Download Original | Original Source | Check in Google Scholar

Abstract

In Indonesia, many people consume nuts, the types of nuts consumed are long beans. One of the important factors that can affect the growth of long beans is to provide sufficient water and use the right fertilizer. In the Batang Kuis sub-district, especially in the village of Sugiharjo, many farmers still don't understand and don't know what type of fertilizer is right to use for long bean plants, because in the current era there are so many different kinds of fertilizer products, including chemical fertilizers. The method used in determining the best alternative fertilizer for long bean plants is the moora method and the Simple Additive Weighting (SAW) method as a comparison to determine the best fertilizer to be selected and used by farmers in fertilizing the long bean plants. The results of the comparison of the two methods, the Simple Additive Weighting (SAW) method is the result for the Npk Grower fertilizer alternative which gets the highest score as the best alternative fertilizer to be used for long bean plants.
PERAMALAN PENJUALAN SEPATU MENGGUNAKAN METODE SVR (SUPPORT VECTOR REGRESSION) BERDASARKAN DATA HISTORIS PENJUALAN Muhammad Zaul Rabbani W.D; Ahmad Zakir
Journal Computer and Technology Vol. 3 No. 2 (2025): Desember 2025
Publisher : Ninety Media Publisher

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.69916/comtechno.v3i2.416

Abstract

Penelitian ini bertujuan untuk merancang dan mengimplementasikan sebuah sistem prediksi penjualan pada UD. Rabani dengan memanfaatkan algoritma Support Vector Regression (SVR). Sistem yang dibangun dirancang untuk membantu perusahaan dalam memperkirakan penjualan di masa mendatang berdasarkan data historis, sehingga dapat menunjang proses pengambilan keputusan yang lebih terukur. Manfaat utama dari sistem ini adalah memberikan gambaran prediksi penjualan yang dapat dijadikan acuan dalam perencanaan strategi bisnis, mengoptimalkan ketersediaan stok, serta meminimalisasi risiko kerugian akibat ketidaktepatan perkiraan permintaan pasar. Selain itu, sistem juga dilengkapi dengan fitur manajemen data, hasil prediksi, serta pengaturan aplikasi yang memudahkan pengguna dalam mengelola informasi secara terintegrasi. Hasil penelitian menunjukkan bahwa model SVR mampu menghasilkan prediksi penjualan dengan nilai metrik evaluasi yaitu MAE sekitar 15, MSE sekitar 340, RMSE sekitar 18, dan R² mendekati 0. Visualisasi data memperlihatkan bahwa hasil prediksi cenderung stabil, namun masih belum sepenuhnya mampu mengikuti fluktuasi data aktual. Kata Kunci : SVR, Prediksi, Historis, Sepatu
Implementasi Algoritma Naïve Bayes Dalam Melakukan Prediksi Mendapatkan Pekerjaan Bagi Alumni UnHar Shiva Awallu Nisa; Edy Rahman Syahputra; Ahmad Zakir
Jurnal Komputer Teknologi Informasi Sistem Komputer (JUKTISI) Vol. 4 No. 3 (2026): Februari 2026
Publisher : LKP KARYA PRIMA KURSUS

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62712/juktisi.v4i3.798

Abstract

Perguruan tinggi memiliki peran penting dalam memantau keberhasilan lulusannya, salah satunya melalui data waktu tunggu alumni dalam memperoleh pekerjaan. Permasalahan yang sering muncul adalah data alumni yang belum terklasifikasi dengan baik sehingga proses analisis dan pencarian informasi menjadi lambat dan kurang efektif. Penelitian ini bertujuan untuk mengimplementasikan algoritma Naïve Bayes dalam memprediksi waktu tunggu alumni Universitas Harapan (UnHar) dalam mendapatkan pekerjaan setelah menyelesaikan studi Strata Satu (S1). Metode yang digunakan adalah data mining dengan algoritma Naïve Bayes Classifier, karena metode ini sederhana, efisien, dan memiliki tingkat akurasi yang baik dalam melakukan klasifikasi berbasis probabilitas. Parameter yang digunakan dalam proses prediksi meliputi Indeks Prestasi Kumulatif (IPK), waktu lulus, relasi, dan sikap. Sistem dikembangkan berbasis website menggunakan bahasa pemrograman PHP dan database MySQL dengan model pengembangan System Development Life Cycle (SDLC). Hasil penelitian menunjukkan bahwa sistem yang dibangun mampu membantu pihak universitas dalam memprediksi waktu tunggu alumni secara lebih cepat dan akurat, serta mempermudah proses pendataan dan evaluasi alumni. Selain itu, sistem ini diharapkan dapat menjadi bahan motivasi bagi mahasiswa aktif agar meningkatkan prestasi akademik dan kesiapan kerja sejak dini.
Rancangan E-Commerce Sablon Baju Menggunakan Metode Prototyping Pada Toko Urban Sablon Ari Pramana; Ahmad Zakir; Arie Rafika Dewi
Jurnal Minfo Polgan Vol. 12 No. 2 (2023): Artikel Penelitian 2023
Publisher : Politeknik Ganesha Medan

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.33395/jmp.v12i2.13396

Abstract

Di era perkembangan teknologi informasi yang semakin canggih seperti saat ini dari sekian banyak tempat sablon yaitu urban sablon (URSA) awal berdiri hanya menyediakan jasa sablon kaos saja. Salah satu masalah pada toko Urban Sablon ini adalah ketika ada pelanggan yang ini menjadi reseller, penjual harus mendata pelanggan tersebut dengan cara lama yang kurang efektif serta harus memberikan harga khusus reseller secara manual dari Whatsapp pada setiap produk yang dijual, itu dapat memakan banyak waktu serta saat ini juga untuk pemesanan sablon hanya melayani pemesanan di tempat sehingga konsumen harus datang langsung ke lokasi. Hal ini kurang efektif karena dapat membatasi konsumen yang tertarik pada sablonan yang ditawarkan terutama pada konsumen yang bertempat tinggal jauh dari lokasi URSA. Oleh karena itu dibuat sistem informasi yang sudah terkomputerisasi yang dapat memudahkan konsumen untuk memesan dan membicarakan sablon kaos tanpa datang ke toko, begitu juga untuk penjual dapat mempermudah dan mempersingkat pekerjaan dengan system yang terkomputerisasi seperti mengolah data penjualan ,peneliti membuat Perancangan sistem informasi Urban Sablon (URSA) berbasis web menggunakan metode Prototype. Sehingga, toko Ursa dalam mengelola perusahanya semakin mudah dan cepat terutama dalam mengelola data produk, data konsumen, pemesanan dan penjualan.
Co-Authors abdat, usman Abdul Hamid Abdullah, Arif Andi Marwan Elhanafi Andi Marwan Elhanafi, Andi Marwan Anmolliza Ari Pramana Arie Rafika Dewi Arnes Sembiring Bayudi, M Syahrir Budi Arisa Utomo Siregar Chairani Syaputri Danar A. Rumbiarmytha Dedi Irwan Dedy Irwan Dewi, Arie Rafika Dewi, Hartika Sari Dian Agus Purwanto Divi Handoko Edy Rahman Syahputra EKA RAHAYU Elsera, Marina Emiyarti, . Fachrul Rozi Lubis Fatma Wani Silitonga Febrica Hotmaulina Sitorus Hadinata, Edrian Handoko, Divi Hani Aisyah Harahap, Herlina IRWAN, DEDY Irwan, Dedy Isna Choina Khairani Tanjung Lubis, Fachrul Rozi Lubis, Husni lubis, ihsan Marina Elsera Marina Elsera Maulida Sri Putri Maya Dwi Sardilla Muhammad Zaul Rabbani W.D Muhammad Zulhafiz Nabila, Sabina Nanda Aulia Rifki Nasution, Raisa Nadiratul Alfath Nurjamiah, Nurjamiah Rachmat Aulia Rachmat Aulia, Rachmat Rafika, Arie Ramadhani, Isma Ramadini, Dwi Wulan Indah Ramdhani, Rizky Budi Rosidah Rosidah Sembiring, Arnes Sembiring, Boni Oktaviana Septiana Dewi Andriana, Septiana Dewi Sheila Azhari Dalimunthe Shiva Awallu Nisa Silvya, Zihan Siregar, Budi Arisa Utomo Siregar, Yunita Sari Syahputri, Nenna Irsa Tantri Hidayanti Sinaga Tantri Hidayati Sinaga ulfa Dwi Yanti Usman Usman Utami, Nadya vani, Sheren yo Wahyu Tri Yanto Wiyono, Tri Yolanda Estefania Hasibuan Yulia Agustina Dalimunnthe Yumna Shafira