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Implementasi Application Programming Interface (API) Google Calendar Sebagai Reminder Informasi Kegiatan Pondok Pesantren Sulastri, Heni; Rahmatulloh, Alam; Kurniawan, Asep
JST (Jurnal Sains dan Teknologi) Vol 8, No 1 (2019)
Publisher : Universitas Pendidikan Ganesha

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (582.596 KB) | DOI: 10.23887/jst-undiksha.v8i1.17506

Abstract

Masyarakat pada saat ini hampir seluruhnya memiliki akun di dunia maya, terutama akun Googlesebagai salah satu raksasa internet yang menyediakan berbagai macam fasilitas untuk memudahkan penggunanya, dengan fitur yang disediakan sebagai Application Programming Interface (API) yaitu API Google Calendarmerupakan salah satu fasiliitas yang digunakan untuk pengingat (reminder) dan penjadwalan kegiatan.Pondok Pesantren memiliki jadwal kegiatan dan informasi yang harus diketahui oleh anggota Pondok Pesantren sebagai pengetahuan dan panduan kegiatan belajar mengajar atau kegiatan lainya yang akan dilakukan. Pondok Pesantren ini jadwal kegiatan dan informasi dipublikasikan dengan cara manual, maka dibutuhkan suatu sistem yang mengelola jadwal kegiatan dan informasi, serta mempublikasikan menggunakan Google Calendaruntuk memberikan pengingat (reminder)atau notifikasi agar tersampaikan kepada anggota Pondok Pesantren. Penelitian ini menggunakan metodologi pengembangan sistem Personal Extreme Programming (PXP)dan hasil dari penelitian ini yaitu API Google Calendartelah berhasil diimplementasikan pada apliksi pesantren reminder, yang dapat mengelola kegiatan dan menyampaikan informasi kegiatan kepada anggota Pondok Pesantren menggunakan Google Calendar. 
Analogi Mekanik Model Gangguan Jiwa Bipolar Sulastri, Heni; Asri, Asifa
PRISMA FISIKA Vol 9, No 1 (2021)
Publisher : Jurusan Fisika, Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26418/pf.v9i1.45235

Abstract

Telah dilakukan studi pada model gangguan jiwa bipolar. Penelitian ini bertujuan  menginterpretasikan tentang redaman negatif dalam model gangguan jiwa bipolar berdasarkan tinjauan mekanika, serta menentukan jenis kestabilan dan keberadaan fenomena limit cycle dari model tersebut. Perubahan kondisi suasana hati yang ekstrim dari pasien gangguan jiwa bipolar dapat dimodelkan secara matematis dengan menggunakan model osilator harmonik yang teredam negatif. Terdapat dua keadaan penderita yaitu gangguan jiwa bipolar tanpa pengobatan dan dengan pengobatan. Selanjutnya, solusi persamaan gangguan jiwa bipolar yang dituliskan dalam bentuk sistem persamaan non-linear autonomus untuk mendapatkan nilai Eigen sehingga diperoleh hasil bahwa model gangguan bipolar tanpa pengobatan dan dengan pengobatan ditinjau dari sistem yang berosilasi yaitu  (dimana  dan merupakan parameter), menghasilkan nilai Eigen bagian riil positif dan menunjukkan bahwa titik tersebut merupakan titik tak stabil. Pada diagram fasa yang diselesaikan secara numerik menggunakan Ordinary Differential Equation 45 (ODE45) model gangguan jiwa bipolar dengan pengobatan memiliki sebuah limit cycle yang unik. Eksistensi limit cycle ini menyebabkan orbit pada bidang fase akan menuju ke suatu lingkaran tertentu. Limit cycle inilah diinterpretasikan sebagai keberhasilan proses pengobatan, karena keadaan emosional penderita berosilasi dalam batas yang ditentukan.
Sistem Informasi Akreditasi Perguruan Tinggi (SIAP) untuk Pengisian Borang Standar 3 BAN-PT Nuphus, Fitriana Nurhayatun; Rahamatulloh, Alam; Sulastri, Heni
JUSTIN (Jurnal Sistem dan Teknologi Informasi) Vol 7, No 2 (2019)
Publisher : Jurusan Informatika Universitas Tanjungpura

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (606.18 KB) | DOI: 10.26418/justin.v7i2.32506

Abstract

Proses akreditasi perguruan tinggi yangdimulai dari pembentukan tim persiapan akreditasi, pengisian borang, pengumpulan dokumen-dokumen terkait akreditasi, serta simulasi penilaian yang dilakukan dengan menginput komponen penilaian satu persatu kedalam aplikasi pengolah dataMicrosoft Excelyang umum digunakan. Karena data borang biasanya berbentuk file Microsoft Excel dan di input kan dengan cara manual, maka pada penelitian kali ini akan menggunakan pendekatan lain yaitu dibuat sistem yang bernama Sistem Informasi Akreditasi Perguruan Tinggi (SIAP) yang akan membantu mengisi tabel-tabel pada borang standar 3 BAN-PT dengan proses importdata, dan juga dibuat simulasi penilaian instrumen AIPT untuk standar 3 BAN-PT denganmenerapkanmetode pengembangan Extreme Programming(XP) yang merupakan salah satu pengembangan aplikasi Object Oriented.Nilai yang diberikan dari aplikasi ini yaitu dapat membantu pengisian tabel borang secara otomatis dengan proses import. Data yang di import kan disini yaitu data standar 3 BAN-PT yang meliputi (data daya tampung mahasiswa baru, data pendaftaran mahasiswa baru, data prestasi, data lulusan, dan data layanan perguruan tinggi),serta dapat melakukan simulasi penilaian instrumen akreditasi perguruan tinggi berdasarkan standar 3 BAN-PT, data normativedan data yang bersifat kuantitatifmenerapkan penilaian intrumen akreditasi sarjana (S1) sesuai dengan buku 6 matriks penilaian intrumen akreditasi.Hasil riset pada penelitian ini yaitu berhasil membuat aplikasi web untuk akreditasi kampus yang dapat membantu admin penginput data borang dengan memberikan solusi yaitu pengisian tabel data borang secara otomatis dengan proses import data.
Quality Classification of Palm Oil Varieties Using Naive Bayes Classifier Puspitasari, Novianti; Rosmasari, Rosmasari; Pratama, Fhanji Wilis; Sulastri, Heni
Digital Zone: Jurnal Teknologi Informasi dan Komunikasi Vol. 13 No. 1 (2022): Digital Zone: Jurnal Teknologi Informasi dan Komunikasi
Publisher : Publisher: Fakultas Ilmu Komputer, Institution: Universitas Lancang Kuning

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31849/digitalzone.v13i1.9773

Abstract

As one of the leading commodities of the Indonesian economy, the ever-increasing production of palm oil has created intense competition among palm oil (CPO) producers. This causes CPO producers to increase their palm oil production without compromising the quality of the palm oil produced. CPO producers are required to be able to objectively determine the quality of superior and precise oil palm varieties in order to produce high economic value palm oil. Therefore, a model is needed to determine the quality of oil palm from several existing varieties. The Naive Bayes Classifier method in this study was used to classify the quality of oil palm based on predetermined variables using a data set of 28 oil palm varieties. Method testing is done by using a confusion matrix and K-fold cross-validation scheme. This study shows a reasonably high accuracy value of 64.25% and a low error rate of 35.7%, indicating that the Naive Bayes Classifier can classify the quality of oil palm varieties quite well.
SERVER-SIDE PROCESSING TECHNIQUES FOR OPTIMIZING THE SPEED OF PRESENTING BIG DATA Sulastri, Heni; Rahmatulloh, Alam; Hidayat, Deri Kurnia
Jurnal Pilar Nusa Mandiri Vol 15 No 1 (2019): Pilar Nusa Mandiri : Journal of Computing and Information System Periode Maret 2
Publisher : LPPM Universitas Nusa Mandiri

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (1047.103 KB) | DOI: 10.33480/pilar.v15i1.62

Abstract

Big data is the latest industry keyword to describe large volumes of structured and unstructured data that are difficult to process and analyze. Most organizations are looking for the best approach to managing and analyzing large volumes of data, especially in decision making. Large data causes the process of presenting information to be slow because all the large amounts of data must be displayed so that specific techniques are needed so that the presentation of information remains fast even though the data is already large. The website generally processes requests to the server, and then if the required data is available, the server will send all the data. This causes all processes to be based on the client-side. So that the client load becomes heavy in displaying all the data. In this study, server-side processing techniques will be applied so that all processes will be handled by the server and the data sent is not all direct but based on periodic requests from the client. The results of this study indicate the use of server-side processing techniques is more optimal. Based on the results of testing the data presentation speed comparison with server-side processing techniques 98.6% is better than client-side processing.
Peran Akun Tiktok Sebagai Sarana Penyuluhan Pajak Dalam Rangka Meningkatkan Kesadaran Pajak Pelaku UMKM Liyana, Nur Farida; Sulastri, Heni
JURNAL PAJAK INDONESIA Vol 7 No 2 (2023): Perkuat Perekonomian Melalui Transformasi yang Berkelanjutan
Publisher : Politeknik Keuangan Negara STAN

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31092/jpi.v7i2.2428

Abstract

Given the large role of tax and MSMEs in the Indonesian economy, efforts to increase tax awareness among MSMEs are urgently needed. In 2021, TikTok account users in Indonesia reached 99.1 million people, the second largest in the world. With such a large number of users, this study aims to find out the role of the TikTok platform as a tax dissemination tools for increasing tax awareness among MSME’s. This study uses a descriptive research method with a qualitative approach. The results of this study indicate that the use of TikTok plays an important role in increasing tax awareness. Through the official TikTok account of the Directorate General of Taxes (DGT), various information related to taxation is easier, faster, cheaper, and more extensive to reach MSME actors throughout Indonesia. DGT should produce more innovative and interesting content more frequent and consistent for uploading videos, and use the TikTok paid advertising facility (TikTok ads) in order to educate society to increase tax awareness. In addition, collaboration with tax dissemination content creator specialist is another choice to make tax dissemination through TikTok platform play a big role and have an impact on tax awareness.
Implementation of Ensemble Machine Learning Classifier and Synthetic Minority Oversampling Technique for Sentiment Analysis of Sustainable Development Goals in Indonesia Gufroni, Acep Irham; Hoeronis, Irani; Fajar, Nur; Rachman, Andi Nur; Sidik Ramdani, Cecep Muhamad; Sulastri, Heni
JOIV : International Journal on Informatics Visualization Vol 8, No 2 (2024)
Publisher : Society of Visual Informatics

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62527/joiv.8.2.1949

Abstract

As part of the Sustainable Development Goals (SDGs), governments worldwide have committed to improving people's lives to improve the quality of life for all, including the 17 such goals that were agreed upon in 2015 to benefit the human race as a whole. It would be interesting to see how society responds to the SDGs after approximately half of them have been achieved. This public response was analyzed in terms of sentiment. Within the total number of internet users in Indonesia, there are 18.45 million Twitter users. The platform enables anyone to write about anything they are experiencing in their lives, such as what is happening in their environment, what is happening in their education system, what is happening in the food industry, how people feel, and many more. The platform enables anyone to write about anything they are experiencing in their lives, such as what is happening in their environment, what is happening in their education system, what is happening in the food industry, how people feel, and many more. To model the data collected, the researchers used Ensemble Machine Learning Classifiers (EMLC) to model the data by using a machine learning classifier that uses machine learning techniques. The best model in this study is EMLC-Stacking with a data splitting of 80:20 and using SMOTE, which obtains an accuracy of 91%. This accuracy results from a 5% increase compared to when not using SMOTE. From 15,698 tweets, this research found that 47% were positive sentiments, 28% were negative sentiments, and 25% were neutral sentiments. The results that we measured offer hope that there will be a positive trend in the journey of the SDGs until 2030 if these findings are true.
Pemanfaatan Teknologi Grafika Komputer Untuk Mendorong Peningkatan Daya Jual Produk Usaha Empek-Empek Dan Kentang Kering Mustofa Pada Industri Rumah Tangga Dimasa New Normal Hidayat, Eka Wahyu; Shofa, Rahmi Nur; Kurniati, Neng Ika; Sulastri, Heni
Jurnal Pengabdian Siliwangi Vol 8, No 2 (2022)
Publisher : LPPM Univeristas Siliwangi

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.37058/jsppm.v8i2.2324

Abstract

Dalam usaha untuk menggerakan perekonomian rakyat, banyak usaha kecil rumahan terdampak karena pandemi Covid 19. Usaha produk Empek-Empek Rafli dan produk Kentang Kering Mustofa Ibu Ifah memiliki kualitas yang baik hanya saja ada kekurangan dari sisi Kemasan. Dengan kondisi tersebut, tujuan dari kegiatan Pengabdian kepada Masyarakat ini dimaksudkan untuk meningkatkan strategi pemasaran dari sisi kualitas produk dan kemasan berbasis Komputer Grafik. Komputer grafik dengan menerapkan aspek Desain Komunikasi Visual pada ranah Multimedia dapat membantu meningkatkan kualitas produk dari sisi kemasan. Langkah-langkah yang akan dilakukan adalah diawali dengan analisa produk dimana perlu ditetapkan Brand Name, Dimensi produk, Desain kemasan. Setelah analisa langkah selanjutnya dilakukan implementasi dengan membuat kemasan produk yang sesuai dan ideal. Dilanjutkan dengan edukasi serta memberikan pemahaman kepada mitra Industri Rumah Tangga yang dibimbing untuk mendapatkan PPIRT. Kegiatan ini diakhiri dengan penyerahan hasil desain kemasan dan bahan baku kemasan produk. Harapan dari kegiatan ini adalah untuk memotivasi mitra Usaha kecil Industri Rumah Tangga agar dapat bersaing ditingkat yang lebih tinggi lagi
Caribi Mobile Application Based on Radio Frequency Identification (RFID) for Internet of Things (IoT) Faridah, Linda; Rahayu, Andri Ulus; Shopa, Rahmi Nur; Sulastri, Heni; Hiron, Nurul; Nursuwars, Firmansyah M S
International Journal of Advanced Science Computing and Engineering Vol. 4 No. 3 (2022)
Publisher : SOTVI

Show Abstract | Download Original | Original Source | Check in Google Scholar | Full PDF (554.597 KB) | DOI: 10.62527/ijasce.4.3.98

Abstract

Nowadays, the e-commerce industry in Indonesia is growing substantially and expanding annually. This is one of the revolutions that has affected various aspects of life, including animal husbandry. In Indonesia, buying and selling livestock has become routine; however, it is still conducted conventionally. Therefore, a system is required to facilitate online purchasing and selling transactions; thus, farmers can expand their enterprises. This study aimed to develop a mobile application for the online purchase and sale of livestock. The Caribi Mobile Application is built with a system that can provide consumers with accurate information by recording the tracks of each animal that will be sold. Each animal’s age, weight, and recent pictures are included. Tag RFID-based Internet of Things (IoT) system is used in searching for mobile applications. The RFID Tag System is used to carry out two functions at once, namely assistance and security. This application is designed to integrate livestock data from the internet and save it in a database. This study’s findings demonstrate that the system can read the data related to each farm animal. Additionally, the system has created data on the weights of each animal, which anyone with access to the Caribi Mobile Application can view.
Penerapan recipe cost calculator untuk perhitungan Harga Pokok Produksi (HPP) Ben Coffee Sulastri, Heni
Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan Vol. 7 No. 3 (2025): Fair Value: Jurnal Ilmiah Akuntansi dan Keuangan
Publisher : Departement Of Accounting, Indonesian Cooperative Institute, Indonesia

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.55904/fairvalue.v7i3.5123

Abstract

The calculation of cost of goods manufactured plays a crucial role in maintaining the sustainability of a business, especially in the face of increasing business competition and rising production costs. Setting the right selling price is a challenge for business owners, especially in the tender process to prospective clients, because mistakes in determining prices can risk causing losses. This study aims to calculate the cost of goods produced at Ben Coffee by applying the Recipe Cost Calculator. The research method used is descriptive with a qualitative approach, and adopts observation, interview, and documentation techniques in data collection. Data analysis was carried out through three stages, namely data reduction, data presentation, and conclusion drawing. The results showed that the application of Recipe Cost Calculator allows Ben Coffee to calculate the cost of goods produced more accurately, efficiently, and systematically. In addition, this method helps business owners in setting a more appropriate selling price and in knowing the amount of profit and potential losses that can occur.