Articles
<![CDATA[Analisis Perancangan dan Pembuatan Cetakan Rengginang untuk Mempermudah Pencetakan dan Memaksimalkan Bentuk Rengginang (Studi Kasus: Dusun Ponggang) ]]>
<![CDATA[Reflianto Iskandar]]>;
<![CDATA[Enny Widawati]]>;
<![CDATA[Stephanus Ivan Goenawan]]>
<![CDATA[ Journal Industrial Servicess Vol 6, No 1 (2020): Oktober 2020 ]]>
Publisher : <![CDATA[Fakultas Teknik Jurusan Teknik Industri Universitas Sultan Ageng Tirtayasa ]]>
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DOI: 10.36055/jiss.v6i1.9471
<![CDATA[Penggunaan cetakan konvensional yang merupakan proses pencetakan yang sudah digunakan sangat lama turun temurun di desa ponggang, namun proses pencetakan tersebut menimbulkan beberapa masalah seperti jari - jari terasa pegal jika sudah melakukan proses produksi yang lama, serta hasil dari ketan yang sudah dibentuk untuk menjadi rengginang tidak menghasilkan bentuk yang bagus dan menarik, selain itu juga penggunaan pencetakan rengginang pada saat ini tidaklah efisien. Oleh karena itu perlu dibutuhkan rancangan keteknikan untuk meningkatkan efisiensinya. Rancangan cetakan rengginang ini merupakan salah satu inovasi pencetakan rengginang yang dapat membantu menyelesaikan permasalahan tersebut. Cetakan rengginang dirancang untuk meningkatkan efisiensi pencetakan ketan yang sudah matang, kombinasi dengan jumlah cetakan yang digunakan serta kemudahan pengaplikasian pada saat ingin melakukan pencetakan rengginang. Prinsip kerja dari cetakan rengginang ini adalah dengan memasukan ketan yang sudah matang kedalam lubang cetakan yang sudah berada di atas meja cetakan. Ketika ketan yang sudah matang dimasukan kedalam lubang cetaka, alat press pencetakan di lakukan penekanan, lalu di dorong kedepan dan ditekan menggunakan alat press pendorong hingga ketan matang yang dicetak terjatuh ke alas nampan. Sehingga ketan yang dihasilkan berbentuk mendekati bulat. Pada hasil uji coba yang telah dilakukan ternyata waktu yang dibutuhkan untuk mencetak ketan menggunakan cetakan rengginang ini jauh lebih efisien dibandingkat dengan pencetakan rengginang dengan cara konvensional dimana tingkat efisiensi yang dihasilkan sebesar 82.8%. Hasil ini dapat diperoleh karena proses pencetakan menjadi lebih mudah sehingga membuat proses pencetakan menjadi jauh lebih cepat di bandingkan pencentakan konvensional.]]>
<![CDATA[INTEREST RATE METRIS SYSTEM: ALTERNATIVE STRATEGY FOR BANKING INDUSTRY ]]>
<![CDATA[Stephanus Ivan Goenawan]]>
<![CDATA[ Buletin Ekonomi Moneter dan Perbankan Vol 18 No 4 (2016) ]]>
Publisher : <![CDATA[Bank Indonesia ]]>
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DOI: 10.21098/bemp.v18i4.576
<![CDATA[The financial transaction facilities including Automated Teller Machine (ATM), mobile banking, or internet banking can help customers to make real time transactions across location and time zones. On the basis of these two facts, this research comparatively analyze and prove that the daily interest rate system as commonly practiced by the bank potentially create loss to them. Since the daily interest rate system is based on the change of the date, the customers can double the nominal interest rate income. Using comparative analysis, this paper shows that the potential loss may be prevented when the bank use the metris interest rate system, which is based on the time in seconds.]]>
<![CDATA[Order Theory I and II As Foundations for Finding Relationship Between Formulas ]]>
<![CDATA[Stephanus Ivan Goenawan]]>
<![CDATA[ Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 2 No. 1 (2020): EMACS ]]>
Publisher : <![CDATA[Bina Nusantara University ]]>
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DOI: 10.21512/emacsjournal.v2i1.5804
<![CDATA[Order theory is generated through the process of induction logic from solving several mathematical functions so that it can be formulated in general the pattern of regularity. If there are function and associates each other is organized and interconnected, then the constants will also be organized and interconnected. Similarly, if there are function and associates that are mutually regulated and the constants that make them organized and interrelated, then the function basis and associates will also have interconnected properties.]]>
<![CDATA[Fractional Generating Function from The Square Root of Two with A-B Goen Numbers ]]>
<![CDATA[Stephanus Ivan Goenawan]]>
<![CDATA[ Engineering, MAthematics and Computer Science (EMACS) Journal Vol. 4 No. 1 (2022): EMACS ]]>
Publisher : <![CDATA[Bina Nusantara University ]]>
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DOI: 10.21512/emacsjournal.v4i1.8073
<![CDATA[The square root of two is an irrational number that cannot be written as a fraction of the numerator and denominator. By using the generating function of A-B Goen, from the resulting set of numbers, the sequence of A-B Goen numbers can be obtained by selecting integer numbers. The A Goen numbers are generated from the generator function which have integer numbers, while the B Goen numbers are obtained from the sequence numbers. In this study, through the generating function of A-B Goen, it can be proven that the division between the A Goen number and the B Goen number in an infinite sequence will result the value of the square root of two.]]>
<![CDATA[Comparison Simulation Analysis of the Gradual Summation of a Function with Recognition of Direct Extrapolation Via IN Series ]]>
<![CDATA[Stephanus Ivan Goenawan]]>
<![CDATA[ International Journal of Applied Sciences and Smart Technologies Volume 02, Issue 01, June 2020 ]]>
Publisher : <![CDATA[Universitas Sanata Dharma ]]>
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DOI: 10.24071/ijasst.v2i1.1969
<![CDATA[A set of data pattern that have the characteristic of a function can be approached using Newton series simulation. When using the Newton series, the simulation result of the summation of extrapolation data can be gradually done in step by step. However, if using the IN series, the simulation result of the summation of extrapolation data doesnt need to be gradually done in step by step. The methodology in this research compares the data pattern from the simulation results of the high degree function with the results of interpolation and extrapolation from the results of the IN series simulation. Futhermore, will be carried out comparison simulation analysis of the summation of the function values gradually with the extrapolation function directly using the IN series. The result of comparison simulation analysis point out that the value of the total summation of data between the gradual and the direct summation is the same, so that the direct sum technique using the IN Series is able to make the total sum process more efficient.]]>
<![CDATA[PENGGUNAAN DERET IN UNTUK MENENTUKAN RERATA ORDE TINGGI FUNGSI POLINOMIAL DENGAN CARA LANGSUNG ]]>
<![CDATA[Stephanus Ivan Goenawan]]>;
<![CDATA[Kumala Indriati]]>
<![CDATA[ UNEJ e-Proceeding 2022: E-Prosiding Seminar Nasional Matematika, Geometri, Statistika, dan Komputasi (SeNa-MaGeStiK) ]]>
Publisher : <![CDATA[UPT Penerbitan Universitas Jember ]]>
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<![CDATA[The High Order Average (ROT) value in the data is an extension of the First Order Mean. There are two methods to find the High Order Average, namely the first step by step and the second directly. The ROT method can directly use the IN Series. Because the process of adding data in stages does not need to be done one by one, the direct ROT method is more effective and efficient. In this study, the two methods will be compared to each other with the results of calculating the ROT data from polynomial functions. ROT calculation results from both methods have the same value. Keywords: Average, IN Series, Interpolation, ROT]]>
<![CDATA[Penerapan Metode Analisa Timbangan Data dan Deret In Dalam Memprediksi Harga Saham Menggunakan Moving Average Convergence Divergence (MACD) ]]>
<![CDATA[Jesslyn Fabrianne]]>;
<![CDATA[Cristine Natalia]]>;
<![CDATA[Stephanus Ivan Goenawan]]>
<![CDATA[ Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2022 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta ]]>
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<![CDATA[Kesadaran masyarakat mengenai saham semakinmeningkat setiap tahunnya. Hal ini perlu diimbagi dengan kemajuanilmu untuk membantu para investor untuk mengambil keputusansecara lebih terukur dan sistematis. Tujuan dari penelitian ini adalahuntuk menerapkan Analisa Timbangan Data (ATD) dan Deret Indalam memprediksi harga saham dengan menggunakan nilai MovingAverage Convergence Divergence (MACD). ATD dan Deret Inmerupakan metode baru untuk mengolah big data dalam memprediksiharga pada waktu tertentu. Populasi dalam penelitian ini adalah hargasaham subsektor telekomunikasi yang dengan sampel harga sahamEXCL (PT XL Axiata Tbk.). Metode pengukuran nilai error yangdigunakan adalah Mean Absolute Percentage Error (MAPE). Hasildari penelitian ini adalah metode ATD dan Deret In mampumemprediksi harga saham subsektor telekomunikasi lebih baikdibandingkan metode yang sudah ada dengan rata-rata error 2,058%dan error terkecil sebesar 0,099%. Sementara, metode yang sudah adamemiliki rata-rata error 11,25 % dan error terkecil sebesar 9,331%.]]>
<![CDATA[Perbandingan Penerapan Metode Analisa Timbangan Data dan Deret IN dengan Stochastic Oscillator dalam Meramalkan Harga Penutupan di Pasar Modal ]]>
<![CDATA[E Yosephan Christanto Milano]]>;
<![CDATA[Stephanus Ivan Goenawan]]>;
<![CDATA[Feliks Prasepta S. Surbakti]]>
<![CDATA[ Prosiding Seminar Nasional Teknologi Informasi dan Bisnis Prosiding Seminar Nasional Teknologi Informasi dan Bisnis (SENATIB) 2022 ]]>
Publisher : <![CDATA[Fakultas Ilmu Komputer Universitas Duta Bangsa Surakarta ]]>
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<![CDATA[Perkembangan teknologi sudah semakin cepat, begitujuga dengan penyebaran informasi yang ada terutama pada pasarmodal. Agar investor terhindar dari kerugian yang dialami daripasar modal maka diperlukan sebuah metode yang mampumenganalisa pergerakan harga saham tersebut. Penelitian iniberfokuskan pada penerapan metode ATD dan Deret IN dalammeramalkan harga saham di pasar modal. Metode ATD dan DeretIN merupakan metode baru yang akan diuji penerapannya di pasarmodal. Populasi yang digunakan dalam penelitian ini merupakanemiten yang tergabung dalam IDX 30 dari sub-sektor perbankandengan sampel yang digunakan adalah emiten BBRI (PT BankRakyat Indonesia Tbk). Hasil penelitian ini diketahui bahwa metodeATD lebih baik dalam menghasilkan nilai peramlan dibandingmetode Stochastic Oscillator dengan periode gabungan ATD 18-ATD 17 sebesar 0.044% dan Metode Stochastic Oscillator adalahperiode 14 dengan error 8.932%.]]>
<![CDATA[The Stock Price Prediction Formula Using the Concept of Equality in the Amount of Data Between the Average Difference of Order One and Two at Levels n and n+1 ]]>
<![CDATA[Stephanus Ivan Goenawan]]>;
<![CDATA[Kumala Indriati]]>;
<![CDATA[E. Yosephan Christanto Milano]]>
<![CDATA[ Pattimura Proceeding 2023: Prosiding KNM XXI ]]>
Publisher : <![CDATA[Pattimura University ]]>
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DOI: 10.30598/PattimuraSci.2023.KNMXXI.35-45
<![CDATA[Technological developments are getting faster, as is the dissemination of existing information, especially on the capital market. In order for investors to avoid losses from the capital market, a method is needed that is able to analyze the movement of the stock price. This study focuses on the application of the Data Scales Analysis (DSA) method which uses a formula with the concept of the same amount of data between the first and second order average differences at levels n and n + 1 for predicting the stock price of issuers, in predicting stock prices in the capital market. The resulting formula is named JIC-FLY 2 which is a new formula used to predict stock prices in the capital market. The population used in this study are issuers who are members of IDX 30 from the banking sub-sector with the sample used is the issuer of BBCA (PT Bank Central Asia Tbk). The results of this study note that the DSA method with this formula is able to produce the best predictive value, namely DSA 12 with an error percentage of 0.035%.]]>
<![CDATA[Pendampingan Budidaya Ikan Lele di Desa Sampora Cisauk ]]>
<![CDATA[Christine Natalia]]>;
<![CDATA[Ronald Sukwadi]]>;
<![CDATA[Maria Angela Kartawidjaja]]>;
<![CDATA[Stephanus Ivan Goenawan]]>;
<![CDATA[Stanislaus Suryadi Uyanto]]>;
<![CDATA[Chelsea Naomi TIrtaulima]]>;
<![CDATA[Naftalia Asmaralda]]>
<![CDATA[ Jurnal Pengabdian Masyarakat Charitas Vol. 1 No. 1 (2021): Jurnal Pengabdian Masyarakat Charitas ]]>
Publisher : <![CDATA[Program Studi Teknik Industri, Fakultas Teknik, Universitas Katolik Indonesia Atma Jaya Jakarta ]]>
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DOI: 10.25170/charitas.v1i1.2688
<![CDATA[This community service activity aims to develop entrepreneurship following the village's potential, namely catfish and hydroponic cultivation, often known as 'aquaponics'. One of the residents of Sampora Village, namely Pak Ali, has been engaged in catfish hatchery cultivation for many years and has become a pioneer in developing catfish cultivation to other Sampora villagers. This mentoring activity is an entrepreneurial assistance activity for catfish hatchery for Sampora villagers. The results of this activity are expected to be a productive sustainable entrepreneurship activity.]]>
