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All Journal Jurnal Informatika Universitas Pamulang Jurnal Sistem Komputer & Kecerdasan Buatan Infotech: Journal of Technology Information E-Amal: Jurnal Pengabdian Kepada Masyarakat IKRAM: Jurnal Ilmu Komputer Al Muslim
Agung Budi Susanto
Universitas Pamulang
Agriculture, Biological Sciences & Forestry Humanities Computer Science & IT Control & Systems Engineering Decision Sciences, Operations Research & Management Economics, Econometrics & Finance Education Electrical & Electronics Engineering Health Professions

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Analisis Enterprise Resource Planning dalam Persediaan Material dengan Metode Manufacturing Resource Planning Menggunakan Software Odoo 13 Manufacturing (Studi Kasus PT. Yuasa Battery Indonesia) Kuntoro, Kuntoro; Susanto, Agung Budi; Kurnia, Dadang
Jurnal Informatika Universitas Pamulang Vol 6, No 4 (2021): JURNAL INFORMATIKA UNIVERSITAS PAMULANG
Publisher : Teknik Informatika Universitas Pamulang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.32493/informatika.v6i4.13202

Abstract

PT. Yuasa Battery Indonesia is a manufacturing company engaged in the manufacture of batteries for motor vehicles, both cars and motorcycles. The production system in this company is make to order. The production process that occurs is that the recording of production activities is still carried out in their respective work sections such as manufacturing, inventory, purchasing so that the information needed for the production line is slow and inaccurate which results in the production plan not being achieved. The purpose of this research is to integrate data and information in all lines of the company so that the constraints faced by the company can be overcome. The material flow for the production process is controlled using the Material Requirement Planning method while the software used to integrate data and information in the production line is Odoo 13 manufacturing. The results showed an increase in productivity from the planned production of 128,387 pcs, 128,381 pcs with and 6 pcs was achieved and the percentage of production achievement was 100% and users accepted the implementation of Odoo 13 with an average test result of 82.3%.
Analisis Sentimen Vaksinasi Covid-19 Pada Twitter Menggunakan Naive Bayes Classifier Dengan Feature Selection Chi-Squared Statistic dan Particle Swarm Optimization Ristasari Dwi Septiana; Agung Budi Susanto; Tukiyat Tukiyat
Jurnal SISKOM-KB (Sistem Komputer dan Kecerdasan Buatan) Vol. 5 No. 1 (2021): Volume V - Nomor 1 - September 2021
Publisher : Teknik Informatika

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47970/siskom-kb.v5i1.228

Abstract

Tingginya penyebaran Covid-19 semakin berdampak pada bidang kesehatan, ekonomi, bahkan bidang pendidikan di Indonesia, sehingga pemerintah Indonesia melakukan tindakan vaksinasi Covid-19 guna menekan tingkat penyebaran Covid-19 di Indonesia. Namun hal tersebut dinilai kotroversial sehingga menarik perhatian masyarakat untuk memberikan opini di berbagai media seperti media sosial twitter. Sehingga membutuhkan analisa sentimen masyarakat terhadap upaya pemerintah pada tindakan vaksinasi Covid-19 untuk mencapai hasil prediksi dengan nilai akurasi paling optimal. Proses crawling secara otomatis menggunakan tools Rapidminer akan mengambil data tweets yang mengandung 5 (lima) kata kunci, yaitu “Vaksin Sinovac”, “Vaksin Astrazeneca”, “Vaksin Moderna”, “Vaksin Merah Putih”, dan “Vaksinasi Covid-19”. Dataset tweets didapatkan dari tanggal 4 Agustus 2021 sampai 12 Agustus 2021. Dataset diperoleh sejumlah 2060 tweets dan diberi label secara manual didapatkan jumlah tweet sebanyak 1193 sentimen positif, 73 negatif, dan 794 netral. Data tersebut dianalisa dengan menggunakan Metode Feature Selection Chi-Squared Statistic dan Particle Swarm Optimization (PSO) untuk mengurangi atribut yang kurang relevan pada saat proses klasifikasi dengan algoritma Naive Bayes Classifier (NBC). Hasil pengujian menunjukan bahwa Algoritma Naive Bayes Classifier (NBC) tanpa Feature Selection mendapatkan nilai akurasi 63,69%. Hasil penelitian menunjukkan bahwa Algoritma Naive Bayes Classifier (NBC) dengan Feature Selection Chi-Squared Statistic mempunyai tingkat akurasi 69,13%. Sedangkan hasil pengujian algoritma Naive Bayes Classifier (NBC) dengan Particle Swarm Optimization mempunyai tingkat akurasi 66,02%. Dengan demikian hasil seleksi fitur Chi-Squared Statistic mendapatkan nilai akurasi yang lebih baik jika dibandingkan dengan Particle Swarm Optimization untuk proses klasifikasi algoritma Naive Bayes Classifier (NBC) dengan selisih akurasi 3,11%.
Sistem Keamanan Ruang Server Rumah Sakit Swasta Berbasis Mikrokontroler Arduino dan Android Angelina Hadriani Hadriyanto; Agung Budi Susanto; Abu Khalid Rivai
IKRAM: Jurnal Ilmu Komputer Al Muslim Vol. 2 No. 1 (2023): IKRAM: Jurnal Ilmu Komputer Al Muslim
Publisher : LPPM STMIK AL MUSLIM

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Abstract

The security of the server room is very important, considering that a lot of important data is stored in it, the server room door locking system which still uses conventional keys is very vulnerable to break-ins into the server room because conventional keys are very easy to duplicate, besides that the use of conventional keys is very risky of human error because It's human nature to forget to put keys all over the place. Besides that, maintenance work that is usually done by IT staff to check the condition of the server room is also hampered by having to go back and forth to security to borrow and return keys before and after carrying out routine maintenance activities. By utilizing the development of Android and Arduino smartphone technology in this study, the authors aim to make SK applications and SMS alarms to replace the current server room security system which is still manual using conventional keys. With this new system, the unlocking process can be through an application embedded in an Android smartphone. by pressing the buttons provided in the application. The research method used is the Prototype method. The way this security system works is that the user or users must open the application on Android and then connect it to the Bluetooth module. After the application and the Bluetooth module are connected, the user only has to choose whether to open or lock the door according to the options in the image in the application, and for the workings of the security system. sms alarm if the PIR sensor detects the movement of people in the server room then the PIR sensor will forward the command to GSM module to send sms to smartphone user.
THE EFFECTIVE, EFFICIENT USE OF SOCIAL MEDIA TO PROMOTE BUSINESS IN MARKETPLACE (CASE: UMKM OF KELURAHAN PONDOK PETIR, KECAMATAN BOJONGSARI, DEPOK CITY) Taryo, Taswanda; Susanto, Agung Budi; Mardiyanto, Mardiyanto; Syarifudin, Syarifudin; Nafiah, Nafiah; Agustian, Rizki; Hilman, Amirul
E-Amal: Jurnal Pengabdian Kepada Masyarakat Vol 3 No 2: Mei- Agustus 2023
Publisher : LP2M STP Mataram

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.47492/eamal.v3i2.2582

Abstract

Micro, Small and Medium Enterprises (MSMEs, UMKM) have an important role in improving the family's economy in Pondok Petir Village, called “Cireng Village”, Bojongsari District, Depok City. In this Community Service (PKM) activity, a very relevant title of Utilization of Social Media to Promote a Business in Marketplace was raised. A lot of very suitable products are ready for Internet publication, such as, various kinds of chips, drinks, herbs, honey, groceries and cireng. Here, business actors are still doing it conventionally and have not made much use of technology, especially the internet. The products owned by MSME business actors are then not widely known by customers. PKM of Magister for Informatics Engineering UNPAM was finally carried out and hence Pondok Petir Village MSMEs can increase their product sales. Indeed, many MSMEs are finally expected to become reliable business actors not only locally, but also nationally and internationally.
PENGEMBANGAN RANCANG BANGUN SISTEM MULTI CONTROL PENGUNCIAN PINTU DENGAN METODE PROTOTYPE BERBASIS RASPBERRY PI (STUDI KASUS : TIARA KOST) Hatonangan Samosir, Theofilus Herly; Susanto, Agung Budi; Thoyyibah, Thoyyibah
Infotech: Journal of Technology Information Vol 10, No 2 (2024): NOVEMBER
Publisher : ISTEK WIDURI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37365/jti.v10i2.313

Abstract

The security and comfort of living spaces have increasingly become a priority alongside the rapid development of technology. This research aims to design and develop a multi-control door locking system based on Raspberry Pi using the prototype method. The system is implemented in a case study at Tiara Kost, with the goal of enhancing room security by automatically detecting the room’s occupant. In the system’s development, a solenoid door lock is controlled using a magnetic relay, and the e-KTP serves as an RFID tag that transmits data to the RFID reader. The data is then processed by Raspberry Pi using Python programming language and stored in a database. This information is subsequently displayed on a web-based application built with PHP. The research adopts a prototype approach to facilitate more interactive system development tailored to user needs. The results of the study show that this smart door locking system is capable of unlocking the door only for registered occupants, according to their e-KTP identity. The system is designed with a user-friendly interface and clear information, and it can be customized to meet consumer needs. Therefore, this system provides a better security solution for boarding house residents and can be implemented on a larger scale. ABSTRAKKeamanan dan kenyamanan tempat tinggal semakin menjadi prioritas seiring dengan pesatnya perkembangan teknologi. Penelitian ini bertujuan untuk merancang dan mengembangkan sistem penguncian pintu multi kontrol berbasis Raspberry Pi menggunakan metode prototipe. Sistem ini diterapkan pada studi kasus di Tiara Kost, dengan tujuan meningkatkan keamanan penghuni kamar kost melalui deteksi pemilik kamar secara otomatis. Dalam pengembangan sistem, solenoid door lock dikendalikan menggunakan relay magnetik dan e-KTP sebagai tag RFID yang mengirimkan data ke RFID reader. Data tersebut kemudian diproses oleh Raspberry Pi menggunakan bahasa pemrograman Python dan disimpan di dalam database. Selanjutnya, data ini ditampilkan dalam aplikasi web berbasis PHP. Metode yang digunakan adalah pendekatan prototipe untuk memfasilitasi pengembangan sistem yang lebih interaktif dan sesuai dengan kebutuhan pengguna. Hasil penelitian menunjukkan bahwa sistem penguncian pintu cerdas ini mampu membuka pintu hanya untuk penghuni yang terdaftar sesuai dengan identitas e-KTP mereka. Sistem ini dirancang dengan antarmuka yang mudah digunakan dan informasi yang jelas, serta dapat disesuaikan dengan kebutuhan konsumen. Dengan demikian, sistem ini memberikan solusi keamanan yang lebih baik bagi penghuni kost dan dapat diterapkan dalam skala yang lebih luas.
Sistem Keamanan Ruang Server Rumah Sakit Swasta Berbasis Mikrokontroler Arduino dan Android Hadriani, Angelina; Susanto, Agung Budi; Rivai, Abu Khalid
IKRAM: Jurnal Ilmu Komputer Al Muslim Vol. 2 No. 1 (2023): IKRAM: Jurnal Ilmu Komputer Al Muslim
Publisher : IKRAM: Jurnal Ilmu Komputer Al Muslim

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

Abstract

Keamanan ruang server sangan penting, mengingat banyak data-tata penting yang tersimpan didalamnya, sistem penguncian pintu ruang server yang masih menggunakan kunci konvensional sangan rentan terhadap pembobolan runga server karena kunci konvensional sangat mudah untuk diduplikat, selain itu penggunaan kunci konvensional sangat beresiko human error karna sifat alami manusia yang sering lupa meletakkan kunci disembarang tempat, selain itu pekerjaan maintenance yang biasa dilakukan staff IT untuk memeriksa kondisi ruang server juga terhambat karena harus bolak-balik ke security untuk meminjam dan mengembalikan kunci sebelum dan setelah melakukan kegiatan maintenance rutin. Dengan memanfaatkan perkembangan teknologi smartphone android dan arduino pada penelitian ini penulis bertujuan membuat aplikasi SK dan alarm sms untuk menggantukan sistem keamanan ruang server saat ini yang masih manual menggunakan kunci konvensional, dengan sistem yang baru ini proses membuka kunci bisa melalui aplikasi yang tertanam di smartphone android dengan menekan button-button yang sudah disediakan didalam aplikasi. Metode penelitian yang digunakan adalah metode Prototype. Cara kerja dari sistem keamanan ini adalah user atau pengguna harus membuka aplikasi pada android lalu menghubungkan nya ke modul bluetooth setelah aplikasi dan modul bluetooth terhubung user tinggal memilih mau membuka atau mengunci pintu sesuai dengan pilihan pada gambar yang ada di aplikasi, dan untuk cara kerja dari alarm sms jika sensor PIR mendeteksi pergerakan orang di ruang server maka sensor PIR akan meneruskan perintah ke modul GSM untuk mengirim sms ke smartphone user.
Co-Authors Abu Khalid Rivai Abu Khalid Rivai Agustian, Rizki Angelina Hadriani Hadriyanto Dadang Kurnia, Dadang Hadriani, Angelina Hatonangan Samosir, Theofilus Herly Hilman, Amirul Kuntoro Kuntoro Mardiyanto Mardiyanto Nafiah, Nafiah Ristasari Dwi Septiana Syarifudin Syarifudin Taswanda Taryo thoyyibah, Thoyyibah Tukiyat Tukiyat