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All Journal Journal of Information Technology and Computer Science (JOINTECS) INTECOMS: Journal of Information Technology and Computer Science Jurnal Informatika Kaputama (JIK) Jutisi: Jurnal Ilmiah Teknik Informatika dan Sistem Informasi Systematics Buana Information Technology and Computer Sciences (BIT and CS) Jurnal Dirosah Islamiyah Infotek : Jurnal Informatika dan Teknologi Innovative: Journal Of Social Science Research Jurnal Accounting Information System (AIMS)

Shofa Shofia Hilabi

Universitas Buana Perjuangan Karawang

Author-ID : 2778316

Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Engineering Languange, Linguistic, Communication & Media Law, Crime, Criminology & Criminal Justice Library & Information Science Mathematics Public Health Social Sciences Other

Published : 12 Documents Claim Missing Document

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Production RAW Material Inventory Control Information System at PT. SIIX EMS Indonesia Tukino; Shofa Shofia Hilabi; Heri Romadhon
Buana Information Technology and Computer Sciences (BIT and CS) Vol 1 No 1 (2020): Buana Information Technology and Computer Sciences (BIT and CS)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Application of web-based raw material inventory control information system with a bill of materials (BOM) using the PHP and MySQL programming language as a database, and using the SDLC livestock device engineering method with stages of planning, design, implementation, and testing. I create a recording application that provides information about the availability of raw material reducing the error in calculating the amount of raw material based on the bill of material. With this application, it can help to purchase in determining the number of raw materials needed for production based on the master bill of material data.

Android Based Employee Absence and Leaving Application Information System Baenil Huda; Shofa shofia Hilabi; Maya Rahayuningsih
Buana Information Technology and Computer Sciences (BIT and CS) Vol 2 No 1 (2021): Buana Information Technology and Computer Sciences (BIT and CS)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Attendance in general is the recording of employee attendance and is one aspect of assessment in a company. The purposes of this study are finding out how employees can apply for leave and how to design and build an Android-based attendance system application. Data collection methods that used in this research include observation, interviews and literature study. The system development method that will be used is the System Development Life Cycle (SDLC) model of the Waterfall. With this system, employees and companies will be helped in the problem of absence and leave. The company will get accurate, fast and precise data in decision making.

Application for Submission of Research Recommendations and Practice Work Web Based Shofa shofia Hilabi; Arip Solehudin; Syahri Susanto
Buana Information Technology and Computer Sciences (BIT and CS) Vol 2 No 1 (2021): Buana Information Technology and Computer Sciences (BIT and CS)
Publisher : Information System; Universitas Buana Perjuangan Karawang

Application Submission of Recommendations for Research and Job Training which is often late hampers students who will carry out Research and Practical Work activities that will be carried out at institutions in Karawang, making students have to spend time visiting the Kesbangpol office where sometimes the completion of the letter is not clear when the completion completed, and also because of the head of the Office's signature problem. The research method used is to use the Waterfall method which in this method includes needs analysis, design, implementation, verification, and maintenance. Therefore it is hoped that after the design and recommendation system of a recommendation letter system/tools proposed by the author, it is useful for efficient time for students who will submit a recommendation letter for research and practical work to agencies in Karawang Regency and students do not have to go directly to the Kesbangpol office. Karawang Regency to submit a recommendation letter

Aplikasi Pengenalan Tarian Dan Lagu Tradisional Indonesia Berbasis Multimedia Bayu Priyatna; Shofa Shofia Hilabi; Nono Heryana; Arip Solehudin
SYSTEMATICS Vol 1 No 2 (2019): December 2019
Publisher : Universitas Singaperbangsa Karawang

Keaneka ragaman adat dan budaya di Iindonesia sebagai warisan nenek moyang yang tidak ternilai harganya merupakan salah satu cerminan masyarakat Indonesia sebagai makhluk bermoral, berakal dan berperasaan. Keanekaragaman adat dan budaya Indonesia seperti upacara adat, kesenian, tari-tarian, senjata tradisional, lagu-lagu daerah dan pakaianadat memiliki nilai-nilai moral yang dapat dijadikan landasan dan diimplementasikan di kehidupan nyata. Dalam upaya melestarikan budaya Indonesia perlu adanya pengenalan tentang adat dan budaya Indonesia terhadap putra dan putri bangsa sejak usia dini agar budaya nusantara tetap lestari dan tidak hilang bahkan punah, terutama tari-tarian dan lagu nusantara yang selalu menjadi kekuatan dan ciri khas dari budaya Indonesia di mata dunia. Membangun multimedia interaktif merupakan inovasi yang tepat dalam memperkenalkan budaya Indonesia. Metode dalam pengembangan aplikasi ini menggunakan Interactive Multimedia System Design & Development Cycle secara khusus memberikan pembahasan mengenai tahapan pengembangan dan perancangan untuk sistem multimedia interaktif, hasil dari pembuatan aplikasi di uji terlebih dahulu dengan white box testing sebelum di publikasikan.

Implementasi Pendidikan Agama Islam Berbasis Outcame Based Education (OBE) di Perguruan Tinggi Umum Siti Masruroh; Shofa Shofia Hilabi
Jurnal Dirosah Islamiyah Vol 4 No 3 (2022): Jurnal Dirosah Islamiyah
Publisher : Sekolah Pascasarjana Institut Agama Islam Nasional Laa Roiba Bogor

The purpose of this research is on the Islamic religious education model based on outcame based education in public universities, namely Islamic religious education which encourages students to continue to improve their abilities in the academic field, both cognitive, affective and psychomotor abilities so that they are able to integrate religious values and technological advances so that they are easily accepted. in the field of work and in the community. With the purpose of this research, students have the ability to apply learning strategies independently, innovatively and creatively so that the achievement of the Outcame Based Education (OBE)-based Islamic religious education model is well achieved. The research method uses qualitative methods, data collection with online interviews and group discussions. discusses the Islamic religious education system in public universities. Keywords: Model, Outcame Based Education, Cognitive, Affective, Psychomotor

Implementasi Sistem Rekrutmen Karyawan PT. Buana Sejahtera Sentosa Menggunkan Metode Pengujian Black Box Jihan Kamelia Pasaribu; Shofa Shofia Hilabi; Fitria Nurapriani
INTECOMS: Journal of Information Technology and Computer Science Vol 5 No 2 (2022): INTECOMS: Journal of Information Technology and Computer Science
Publisher : Institut Penelitian Matematika, Komputer, Keperawatan, Pendidikan dan Ekonomi (IPM2KPE)

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31539/intecoms.v5i2.5031

Buana Sejahtera Sentosa Karawang adalah jasa tenaga kerja yang digunakan sebagai stasiun penyalur tenaga kerja atau disebut juga (outsourcing). Sistem rekrutmen PT Buana Sejahtera Sentosa masih bersifat tradisional, yaitu pelamar datang langsung atau mengirim surat lamaran melalui pos, sehingga berkas data pelamar menumpuk dan merentan menyebabkan kerusakan atau kehilangan data. Oleh karena itu, perlu menyiapkan sistem aplikasi berbasis situs web. Dalam aplikasi ini, metode pengumpulan data berdasarkan observasi, wawancara, dan penelitian. Unified Modeling Language (UML) digunakan dalam metode perancangan: use case diagram, activity diagram, sequence diagram. Bahasa pemrograman yang digunakan adalah PHP (Hypertext Preprocessor), HTML, Javascript dan CSS. Mysql digunakan sebagai basis data. Juga metode pengujian menggunakan pengujian black box. Peniliti berharap aplikasi web ini akan mempermudah pekerjaan administrator dan menghasilkan data yang akurat agar perusahaan tetap berjalan yang efektif dan efesien. Dan untuk calon pelamar bisa mudah untuk mencari pekerjaan yang sangat mudah dan praktis.

Implementasi Algoritma K-Means dalam Analisis Klasterisasi Penyebaran Penyakit Hiv/Aids Tita Puspita Sari; April Lia Hananto; Elfina Novalia; Tukino Tukino; Shofa Shofia Hilabi
Infotek: Jurnal Informatika dan Teknologi Vol. 6 No. 1 (2023): Infotek : Jurnal Informatika dan Teknologi
Publisher : Fakultas Teknik Universitas Hamzanwadi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29408/jit.v6i1.7423

The most crucial component of everyone's life is their health, especially for young people, health problems that often arise in the younger generation are promiscuity or free sex. HIV/AIDS cases were reported in the last 30 years, from 1992 to 2022 as many as 2,052 were infected with HIV/AIDS. Dozens of them are students and college students. This study's objective was to cluster the total cases of HIV/AIDS based on sub-districts in Karawang district. Seeing which areas need more attention in dealing with cases of HIV/AIDS transmission and the areas with the highest cases can serve as a manual for choosing the highest areas and these areas can be the main focus. The approach adopted for this study is data mining. To solve the existing problems, the authors use the K-Means algorithm using 4 clusters to find out which sub-district groups have very high, high, medium and low numbers of HIV/AIDS cases by calcualating the centroid/mean of the cluster data. The results of the study contained 4 clusters as follows: cluster 0 with low criteria earned 73%, cluster 1 with very high criteria earned 3%, cluster 2 with medium criteria earned 7%, and cluster 3 with high criteria earned 17%.

Analisis Sentimen Calon Presiden 2024 Menggunakan Algoritma SVM Pada Media Sosial Twitter Aprilia Putri Nardilasari; April Lia Hananto; Shofa Shofia Hilabi; Tukino Tukino; Bayu Priyatna
JOINTECS (Journal of Information Technology and Computer Science) Vol 8, No 1 (2023)
Publisher : Universitas Widyagama Malang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31328/jointecs.v8i1.4265

Analisis Sentimen banyak digunakan pemangku kepentingan dalam menilai sentimen terhadap suatu objek. Pada penelitan ini objek yang akan diambil yaitu analisis sentimen terhadap tokoh politik calon presiden 2024 yang sedang marak diperbincangkan oleh warganet, khususnya di twitter. Adapun permasalahan yang diangkat yaitu mengenai ukuran kinerja suatu algoritma dalam melakukan klasifikasi sentimen, beberapa algoritma kerap memiliki tingkat akurasi yang rendah. Penelitian ini bertujuan untuk meningkatkan performance measure dari penelitian sebelumnya dengan menggunakan algoritma Naïve Bayes yang memiliki tingkat akurasi cukup rendah, dan pada penelitian ini digunakan algoritma SVM. Penelitian ini mengambil data Twitter yang berhubungan terhadap calon presiden untuk melihat opini masyarakat kepada setiap calon presiden. Data yang diambil yaitu data twitter dengan kata kunci Ganjar, Anies, Prabowo sebanyak 8.959 data yang diambil pada tanggal 17-25 Oktober 2022. Hasil dari pengujian mendapatkan kesimpulan algoritma SVM mempunyai performance measure atau akurasi cukup tinggi dibandingkan dengan algoritma Naïve Bayes pada penelitian sebelumnya hanya sebesar 73, 86% sementara algoritma SVM mendapat nilai rata-rata accuracy mencapai 98,61% yaitu dataset Ganjar Pranowo, lalu precision 98,81%, recall 99,79%. Dan untuk proporsi sentimen menunjukan sentimen positif yang diperoleh Ganjar lebih tinggi daripada calon presiden lainnya yaitu 55%, Prabowo 30% dan Anies 15%, Sementara sentimen negatif Anies lebih tinggi 89% daripada Ganjar 8% dan Prabowo 3%.

ALGORITMA C4.5 DALAM MENGUKUR TINGKAT PENGETAHUAN SISWA TERHADAP PELAJARAN BAHASA INGGRIS Witulas Ambang Cahyati; Shofa Shofia Hilabi; Agustia Hananto; Tukino Tukino
Jurnal Informatika Kaputama (JIK) Vol 7 No 1 (2023): Volume 7, Nomor 1, Januari 2023
Publisher : STMIK KAPUTAMA

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.59697/jik.v7i1.11

This study aims to categorize the level of students' knowledge of English lessons. To understand the lesson, the teaching and learning process is certainly very important for a student. Achievement of student knowledge is the main function of the existence of an educator. The large number of vocabulary that often sounds foreign to the ear makes it difficult for students to solve English questions because it is difficult to translate. The data source was obtained from students of class VII (seven) at SMP N 03 West Karawang who filled out an English knowledge questionnaire. The C4.5 algorithm is the classification method that is used, and is assisted by the RapidMiner application. The attributes used are student learning methods, learning tools, teacher teaching methods and student interest and student ambition. The results obtained from this study, the value of gain and entropy attributes obtained 23 English knowledge decision rules where the understanding status totaled 12 rules, the status did not understand totaled 11 rules. The accuracy resulting from classification modeling using the C4.5 Algorithm from RapidMiner is 78.12%. The application of the Algorithm C4.5 classification method can be implemented in order to provide new information related to the concept of students' knowledge of English lessons.

Sistem Pendukung Keputusan Pemilihan Supplier Obat Menggunakan Metode Simple Additive Weighting Erlyta Hares; Shofa Shofia Hilabi; Agustia Hananto
Jurnal Accounting Information System (AIMS) Vol. 6 No. 1 (2023)
Publisher : Ma'soem University

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

Determining drug suppliers for pharmacies choosing suppliers based on the price of the goods offered, the quality of the goods while in transit, whether the goods are received according to the order or not, and whether or not the delivery time for the goods reaches the pharmacy quickly. The main problem in supplier selection is decision making in choosing a good and efficient supplier and supported by problems that usually occur when the number of drugs sent does not match what was ordered, the packaging is damaged, the date is close to the expiration date. A decision support system for selecting drug suppliers with the help of the Simple Additive Weighting (SAW) method can assist pharmacies in making the right decisions on drug supplier selection to be chosen by pharmacies. The step in solving existing problems is to choose the best supplier by using the Simple Additive Weighting (SAW) method as a support for this research, in the Simple Additive Weighting (SAW) method which has ten (10) alternative suppliers that will be used to determine the best supplier, of course only one becomes the best supplier selection decision. Of the 10 suppliers selected after determining the value, the best results were obtained at Pt. Pharmaceutical Chemistry.

Co-Authors April Lia Hananto Aprilia Putri Nardilasari Arip Solehudin Baenil Huda Baenil Huda Deden Renhad Sudrajat Erlyta Hares Fitria Nurapriani Hananto, Agustia Heri Romadhon Heryana, Nono Ina Julia Jihan Kamelia Pasaribu Maya Rahayuningsih Novalia, Elfina Priyatna, Bayu Siti Masruroh Syahri Susanto Tita Puspita Sari Tukino Witulas Ambang Cahyati Yundari, Yundari

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